Maximin distance optimal designs for computer experiments with time-varying inputs and outputs

DOI10.1016/j.jspi.2012.09.005zbMath1432.62247OpenAlexW2075010958MaRDI QIDQ389416

Max D. Morris

Publication date: 20 January 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.09.005

zbMATH Keywords

dynamic modelcomputer experimentsurrogateGaussian stochastic processmaximin distance designmeta-model

Mathematics Subject Classification ID

Gaussian processes (60G15) Optimal statistical designs (62K05)

Related Items (1)

Computer experiments with functional inputs and scalar outputs by a norm-based approach

Cites Work

• Bayesian Calibration of Computer Models
• Empirical Bayesian Analysis for Computer Experiments Involving Finite-Difference Codes
• Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources
• Computer Model Calibration Using High-Dimensional Output
• Combining Field Data and Computer Simulations for Calibration and Prediction
• THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS

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